Our Purpose

- Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._

Title and Summary

Senior AI Engineer

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data, advanced technology, and strong partnerships, we help individuals, businesses, and governments realize their greatest potential.

Business & Market Insights (B&MI;) is Mastercard’s data, analytics, and intelligence organization, responsible for transforming vast, global data assets into actionable insights and decision support products for customers across industries. B&MI; builds platforms and products that move beyond static analytics, embedding AI, advanced modeling, and increasingly agentic systems directly into customer workflows to help clients understand what is happening, what will happen next, and what actions to take. The team operates at global scale to deliver secure, governed, and production ready intelligence solutions that drive measurable business outcomes.

Overview

Mastercard is seeking a Senior AI Engineer (Level 7) to design, build, and operate production grade AI systems that deliver real world business impact at scale. In this role,



you will be responsible for translating advanced AI and machine learning techniques into reliable, governed, and observable solutions embedded within enterprise platforms.

You will work closely with product managers, software engineers, and data partners to productionize AI capabilities, ranging from machine learning models to LLM based components, while ensuring operational excellence, responsible AI practices, and long term maintainability.

This role is ideal for an experienced AI engineer who thrives at the intersection of model development, system reliability, and enterprise governance.

Role & Responsibilities

As a Senior AI Engineer, you will:

- Design, develop, and deploy scalable AI and machine learning systems that address complex business problems and operate reliably in production environments.
- Productionize models through robust training, evaluation, inference, and deployment pipelines, following CI/CD best practices.
- Implement and maintain evaluation frameworks for model performance, safety, quality, and drift across the model lifecycle.
- Develop AI solutions using a range of techniques, including classical ML, deep learning, and LLM based architectures, selecting the right approach for each use case.
- Collaborate with Software Engineering partners to integrate AI capabilities into distributed systems and platforms.
- Monitor, troubleshoot,



and continuously improve AI systems in production, ensuring reliability, scalability, and cost efficiency.
- Document models, workflows, and design decisions to support reproducibility and knowledge sharing.
- Mentor and guide junior engineers, contributing to a culture of technical excellence and continuous learning.
- Required Experience & Skills

- Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering, with significant hands-on experience leading and delivering complex Gen AI or ML engineering programs in production environments.
- Deep proficiency with LLM ecosystems: OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph, and open-source foundation models (LLaMA, Mistral, Falcon, etc.).
- Strong command of Gen AI engineering patterns: prompt engineering, chain-of-thought reasoning, tool/function calling, vector embeddings, semantic search, and agent memory architectures.
- Solid applied knowledge of ML fundamentals — predictive modeling, deep learning (PyTorch, TensorFlow), and statistical techniques — used in tandem with Gen AI for hybrid, interpretable systems.
- Excellent Python engineering skills including async programming, API development (FastAPI), and building inference-ready microservices; SQL proficiency required.
- Hands-on experience with cloud AI infrastructure (AWS SageMaker, Bedrock, Azure OpenAI, or GCP Vertex AI) and familiarity with MLOps/LLMOps tooling (MLflow, Weights & Biases, etc.).
- Robust analytical, communication, and stakeholder management skills — with the ability to translate complex Gen AI concepts into business value and lead cross-functional teams toward delivery.
- Leveling & Scope

This role aligns to Senior AI Engineer (Level 7) within Mas

📌 Senior Ai Engineer (Pune)
🏢 Mastercard
📍 Pune